As a logistics systems operator, you need your equipment to work reliably whenever it is needed. With our Smart Maintenance approach, unplanned downtimes and emergency maintenance are a thing of the past.
We are continually enhancing our predictive maintenance solutions. Our Smart Maintenance portfolio monitors the components of a wide range of systems.
The basis for predictive maintenance is condition monitoring, which uses artificial intelligence to identify patterns in historical sensor data. The results are used to predict the best time to perform necessary maintenance and to predict the service life of a component. You benefit from optimized maintenance scheduling and execution with just-in-time measures. You can realize higher operational availability, greater efficiency and productivity, and boost competitiveness.
Singulator 360 provides transparency on the condition of drive units. During operation AI-based algorithms detect anomalies that indicate which belt units are not working as they should or may be about to fail. Predictive analytics with Singulator 360 let operators plan maintenance according to the actual system condition.
Observations of motor data over a longer period provide a relaiable indication of potential maintenance issues. This allows to take necessary measures in good time. Furthermore, Motor 360 assists with the prioritization of maintenance activities, putting critical drives at the top of the list for service personnel.
The VarioRoute uses multiple intelligently controlled roller units to reliably divert items to right direction e.g., to the sorting loop. Diverter 360 provides transparency on the condition of drive units. During operation AI-based algorithms detect anomalies that indicate which roller units are not working as they should or may be about to fail.